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作 者:张慧媛[1] 郭雪霞[1] 刘瑜[1] 冉国伟[1] 王国扣 王海[1]
机构地区:[1]农业部规划设计研究院农产品加工所,北京100125 [2]中国包装和食品机械有限公司,北京100083
出 处:《农业工程学报》2016年第S1期320-324,共5页Transactions of the Chinese Society of Agricultural Engineering
基 金:农业部财政专项项目"农产品加工市场拓展与集聚区建设"(项目编号:2130112)
摘 要:产业聚集是中国农产品加工业发展的显著特征和重要形式,已经形成当代农产品加工业的发展趋势。为了研究总结农产品加工业产业聚集的成功经验及各地农产品加工园区的聚集情况和聚集水平。该文依托入驻园区企业数量占该地区农产品加工业企业总数的比例评价计分、入驻园区规模以上占比评价计分、入驻园区龙头企业占比评价计分、入驻园区企业固定资产投入占比评价计分、入驻园区企业主营业务收入占比评价计分、入驻园区企业税后利润占比评价计分、园区吸纳就业人数占该地区加工业从业总人数的比例评价计分、园区科技投入资金占比的评价评价计分等8个因素,设计综合评价模型,统计结果显示,该文选择的10个地区聚集水平依次为:黑龙江、吉林、甘肃、山西、内蒙古、北京、福建、河北、江苏、湖南。研究分析了中国农产品加工业产业园区的聚集效果和聚集水平,同时提出了加强政策引导、提升创新能力、注重产品质量、推进集群发展和坚持融合带动等政策建议。研究结果为同行管理部门、企事业单位及相关研究分析人员提供参考。Industrial clustering, as a marked feature and a major pattern in the development of China’s agro-processing industry, represents the trend of development. In order to study and summarize the successful experiences and investigate the status of cluster development of agro-processing industrial parks in different provinces, the author designed a comprehensive evaluation model, taking into account of diverse factors, including regional industrial clustering index, share of companies settled in industrial park, share of main business income, as well as investment in science and technology in the industrial park. Data on 8 indicators was collected in provinces:the evaluation score on the proportion of agro-processing companies in the industrial park among all companies of its kind in the province, the evaluation score on the proportion of large-scale agro-processing companies in the industrial park in all companies of its kind in the province, the evaluation score on the proportion of leading agro-processing companies in the industrial park in all companies of its kind in the province, the evaluation score on the proportion of fixed assets value of companies in the industrial park in the industrial total in the province, the proportion of main business income of companies in the industrial park in the industrial total in the province, the evaluation score on the proportion of after-tax profits of companies in the industrial park in the industrial total in the province, the evaluation score on the proportion of employment in the industrial park in the industrial total in the province, and the evaluation score on the proportion of investment in science and technology in the industrial park in the industrial total in the province. The level of clustering in various provinces is ranked according to statistics (from high to low):Heilongjiang, Jilin, Gansu, Shanxi, Inner Mongolia, Beijing, Fujian, Hebei, Jiangsu and Hunan. The study examined effects and level of clustering for agro-processing industrial parks in China. I
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